Question

Write a function “removeRedEye” that reads the image “lab12_image.jpg” and removes the red eye. You can replace the red color with the black color.

You have to replace it using the imports numpy and cv2

Answer 1

Code without comments:

***refer to the attached screenshot for indentation***

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import numpy as np
import cv2

img = cv2.imread('image.jp
g')
shape=img.shape
for i in range(shape[0]):
for j in range(shape[1]):
if(img[i][j][0]>=0 and img[i][j][1]>=0 and img[i][j][2]>=125
and img[i][j][0]<=220 and img[i][j][1]<=100 and img[i][j][2]<=255):
img[i][j]=[0,0,0]
cv2.imwrite("image2.jpg", img)

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Snapshot

import numpy as np import Cv2 img cv2.imread ('image.jp shape-img.shape for i in range (shape[0]) for j in range (shape[1]) if (img[i] [j1 01>-0 and img[i] [ 10 and img [i] [[21> 125 and img[i] [j]0]<-220 and img[i] [j1 [1<-100 and img [il j] [21<-255) img [i] [51 [0,0,0] cv2.imwrite("image2.jpg", img)

Code with comments:

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import numpy as np
import cv2

#read the image as numpy array
#it will be a 3D array
img = cv2.imread('image.jpg')

#image.shape returns an array having width as the first
#element, height as 2nd as number of color channels as 3rd
shape=img.shape

#loop over every pixel of the image and check if it falls
#under the category of red

#first loop for looping over every pixel row in the image
for i in range(shape[0]):
#inner loop for looping over every pixel column
for j in range(shape[1]):
#now we will decide the criteria for a pixel to be red
#in the numpy array of the image the pixel color values
#are in the order b,g,r(blue,green,red)

#below condition implies that if the blue content in the
#pixel is in the range(0,220) and green in range(0,100) and
#red in range(125,255) then we will change the color of that
#pixel to red

#I decided these ranges by hit and try for best results

#img[i][j] will have an array with 3 values [b,g,r]
#we have to alter these values for changing the color
if(img[i][j][0]>=0 and img[i][j][1]>=0 and img[i][j][2]>=125
and img[i][j][0]<=220 and img[i][j][1]<=100 and img[i][j][2]<=255):
#change color to black
img[i][j]=[0,0,0]
#save the edited image as new image
cv2.imwrite("image2.jpg", img)

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Sample OUTPUT

image.jpg

image2.jpg(updated image)

import numpy as np import Cv2 img cv2.imread ('image.jp shape-img.shape for i in range (shape[0]) for j in range (shape[1]) if (img[i] [j1 01>-0 and img[i] [ 10 and img [i] [[21> 125 and img[i] [j]0]<-220 and img[i] [j1 [1<-100 and img [il j] [21<-255) img [i] [51 [0,0,0] cv2.imwrite("image2.jpg", img)

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